中国科学院机构知识库网格系统: 检索

Multi-Source Adaptive Selection and Fusion for Pedestrian Dead Reckoning 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2174-2185
作者: Yuanxun Zheng; Qinghua Li; Changhong Wang; Xiaoguang Wang; Lifeng Hu

|

收藏 | 浏览/下载：39/0 | 提交时间：2022/12/02

Adaptive reliability evaluation adaptive weight evaluation Kalman filter (KF) multi-source fusion optimal set selection

Research on the optimal layout of pressure monitoring points in water-cooling pipelines of nuclear fusion device based on fusion distance 期刊论文 OAI收割
FUSION ENGINEERING AND DESIGN, 2021, 卷号: 165
作者: Yang, Yalong; Xu, Qianglin; Su, Liangliang; Yang, Lei

|

收藏 | 浏览/下载：31/0 | 提交时间：2021/05/06

Fusion distance CFSFDP clustering Cooling water system Fusion device Optimal layout Pressure monitoring points

Multi-scale Optimal Fusion model for single image dehazing 期刊论文 OAI收割
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2019, 卷号: 74, 页码: 253-265
作者: Zhao, Dong; Xu, Long; Yan, Yihua; Chen, Jie; Duan, Ling-Yu

|

收藏 | 浏览/下载：59/0 | 提交时间：2020/03/10

Single image dehazing Multi-scale dehazing Dark channel prior Multi-scale Optimal Fusion

Optimal design based on closed-loop fusion for velocity bandwidth expansion of optical target tracking system 期刊论文 OAI收割
Sensors (Switzerland), 2019, 卷号: 19, 期号: 1
作者: Mao, Yao; Ren, Wei; Luo, Yong; Li, Zhijun

|

收藏 | 浏览/下载：26/0 | 提交时间：2021/05/06

MEMS gyro optical target tracking closed-loop fusion optimal design

Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文 OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296
作者: Bing-Tao Zhang; Xiao-Peng Wang; Yu Shen

|

收藏 | 浏览/下载：39/0 | 提交时间：2021/02/22

Feature fusion mild difficulty in falling asleep (MDFA) decision support tool sleep issues optimal feature set.

Best tradeoff for remote sensing image fusion based on three-dimensional variation an a trous wavelet SCI/SSCI论文 OAI收割
2013
作者: Tian J.

收藏 | 浏览/下载：30/0 | 提交时间：2014/12/24

image fusion 3Dvar a trous wavelet optimal decomposition quality decomposition transform parameter spot

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：63/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Optimal allocation of multi-sensor passive localization 期刊论文 OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2010, 卷号: 53, 期号: 12, 页码: 2514-2526
作者: Wang BenCai; He You; Wang GuoHong; Xiu JianJuan

|

收藏 | 浏览/下载：26/0 | 提交时间：2021/02/02

FUSION multi-sensor passive localization optimal allocation geometric dilution of precision cut angle consistency optimal estimate

Optimal allocation of multi-sensor passive localization 期刊论文 OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2010, 卷号: 53, 期号: 12, 页码: 2514-2526
作者: Wang BenCai; He You; Wang GuoHong; Xiu JianJuan

|

收藏 | 浏览/下载：22/0 | 提交时间：2021/02/02

FUSION multi-sensor passive localization optimal allocation geometric dilution of precision cut angle consistency optimal estimate

Optimal fusion method for multi-focus images - art. no. 67871G 会议论文 OAI收割
Mippr 2007: Multispectral Image Processing, Bellingham
Wen, Jianting; Gong, Haifeng; Zhang, Bing

收藏 | 浏览/下载：21/0 | 提交时间：2014/12/07

optimal fusion multi-focus defocus depth of field intrinsic image BLIND DECONVOLUTION